Triple

T1035752
Position Surface form Disambiguated ID Type / Status
Subject Konstantin Chernenko E22357 entity
Predicate givenName P17 FINISHED
Object Konstantin E141815 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Konstantin | Statement: [Konstantin Chernenko, givenName, Konstantin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Konstantin
Context triple: [Konstantin Chernenko, givenName, Konstantin]
  • A. Konstantin chosen
    Konstantin is a masculine given name of Latin origin, widely used in Slavic and other European cultures, meaning “steadfast” or “constant.”
  • B. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • C. Vladimir
    Vladimir is a common Russian male given name of Slavic origin, historically associated with rulers and notably borne by Russian president Vladimir Putin.
  • D. Gavril
    Gavril is a masculine given name, commonly used in Slavic and Eastern European cultures, that derives from the Hebrew name Gabriel.
  • E. Leonid
    Leonid is a masculine given name of Slavic origin, notably borne by Soviet leader Leonid Brezhnev.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b816272c8190a12e470c4d4ebcf9 completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69adf3a5cac081908d655e42a58a81c5 completed March 8, 2026, 10:09 p.m.
Created at: March 1, 2026, 7:41 p.m.